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HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.62EOD only
Max Pain
$79.50
Next expiry Jun 12, 2026
Expected Move
±$0.34
0.4% from close
Price Gap
-0.12
Distance to max pain
IV Rank
16
Low premium
P/C OI
3.72
Slightly put-heavy
Consensus
8.5/10
Bearish tilt
Published snapshot: Jun 9, 2026 close
End-of-day snapshot

This page reflects HYG options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.

Published Snapshot
Jun 9, 2026 close
HYG AI Consensus Report
Analysis based on market close June 10, 2026
DirectionalTheta GangFlowEarningsConsensus

Historical consensus-supported lens with full content, report chain context, and metric rail.

Conviction
7.0

out of 10

7 not 8 because the max pain pin conflicts with the bearish flow thesis, and low IV reduces urgency for directionals plays.

Where Perspectives Agree

All personas agree on bearish bias due to negative GEX, extreme put skew, and massive institutional put buying, with spot near max pain $80 but vulnerable to downside break.

Where They Diverge

Directional sees near-term pin at $80 limiting downside, while theta recommends waiting due to low IV and event risk, conflicting with flow's aggressive bearish positioning.

Top Trade
via directional

Buy July 2 $79/$78 put spread for $0.35 debit

Key Risk

Break below $79 flips dealer gamma long and triggers stop-loss cascade, accelerating to $78 support; this invalidates the pin thesis and aligns all personas bearish.

How to Use These Reports
This ai consensus reflects the market close on June 10, 2026.
What the reports do

Each report translates the same market-close options snapshot into a specific lens such as directional bias, premium-selling posture, flow quality, or earnings setup.

How traders use them

Reports are most useful for narrowing the playbook, surfacing entry and risk context, and deciding which raw data page to inspect next.

What to remember

These are interpretation layers, not execution guarantees. Validate the setup against chain liquidity, expected move, and exposure before sizing risk.

If the report conviction and the raw data disagree, slow down and resolve the mismatch before sizing risk.